Senior Manager, Data Science, Model Risk Office

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VARichmond, VAChicago, IL
Salary
$209,000–$238,500 / yr
Employment
Full-time
Posted
174 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $224k
$137k $249k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $162,000–$224,400 — the blue band above. At the midpoint, this role pays about $224k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Science, Model Risk Office

Role Posting Log in to save

The Senior Manager, Data Science - Model Risk Office joins the Model Risk Office team to safeguard the enterprise from model failures while enhancing decision-making. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to identify and quantify risks associated with models. You will build machine learning models to challenge production champion models and contribute to the model governance framework for next-generation systems. Your daily work involves validating a wide variety of models across multiple business domains within Enterprise Services. You will utilize a broad technology stack including PyTorch, Hugging Face, LangChain, Vector Databases, and LLMOps. Key skills include proficiency in Python, Scala, or R, relational databases, and experience with clustering, classification, sentiment analysis, time series, and deep learning.

What does a Data Science Manager earn?

Median $211200 from 43 postings across 13 companies.

See salary data

Skills

Python Scala R PyTorch Hugging Face LangChain Vector Databases LLMOps AWS Relational Databases Machine Learning Deep Learning Statistics Time Series Sentiment Analysis Clustering Classification Observability Platforms

What you'll do

  • Identify and quantify risks associated with models in partnership with cross-functional teams.
  • Use frameworks like PyTorch and Hugging Face to extract insights from multi-modal data.
  • Build machine learning models to challenge and test "champion models" currently in production.
  • Contribute to the model governance framework for the next generation of enterprise models.
  • Validate a wide variety of models across multiple business domains within Enterprise Services.
  • Present identified model risks and their potential business impacts to executive leadership.

What we're looking for

  • Must have a Bachelor's in a quantitative field plus 7 years of data analytics experience, a Master's/MBA plus 5 years, or a PhD plus 2 years.
  • Must have at least 2 years of experience leveraging open source programming languages for large scale data analysis.
  • Must have at least 2 years of experience working with machine learning.
  • Must have at least 2 years of experience utilizing relational databases.
  • PhD in a STEM field plus 4 years of experience in data analytics (preferred).
  • At least 1 year of experience working with AWS (preferred).
  • At least 1 year of experience managing people (preferred).
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis (preferred).
  • At least 5 years of experience with machine learning (preferred).

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